Physical Sciences and Mathematics Commons^™

Proposed Hybrid Correlationfeatureselectionforestpanalizedattribute Approach To Advance Idss, Doaa Nteesha Mhawi, Prof. Soukaena H. Hashem

Karbala International Journal of Modern Science

NetworkIntrusionDetectionSystem(NIDS), widely used network infrastructure. Although many datamining has been used to increase the effectiveness of IDSs, current ID still struggle to perform well. therfore; proposed a new NIDS focused on feature_selection. The proposed CorrelationFeatureSelection_ForestPanalizedAttributes(CFS_FPA) used for dimensionality_reduction and selects the optimal_subset. based on two steps: first check each feature with a target(class) and choose only features that most effective by applying CFS filter using a statistical_method, then applied FPA to select only features will enhance ID and reduce_dimensionality. proposal tested with the NSLKDD experimental results of accuracy 0.997% and 0.004 FAR, wherein UNSWNB15_dataset accuracy and FAR are 0.995%, 0.008 …

Analysis Of Modern Communication Protocols For Iot Applications, Neerendra Kumar, Pragti Jamwal

Karbala International Journal of Modern Science

To facilitate increasing interactions of machines, various protocols are building up for IoT applications. Safeguarding communication among devices is necessary. In this paper, various protocols have been studied and compared using six parameters: Communication overhead, Security, Packet Loss, Throughput, Bandwidth and Support to QoS. LIDOR is found as the most successful communication protocol. A tabulated comparison of various communication protocols have been provided by comparing the parameters. Further, six star rating for the various protocols have been proposed. The study shows that LIDOR increases reliability under DoS attacks. Considering the existing literature, new research gaps and challenges have been presented.

The Effect Of Diode Laser On The Life And Appearance Of White Ant (Psammotermes Hypostoma), Estabraq Mahmood Mahdi Msc, Sahar Naji Rashid Msc., Saeed Maher Lafta Ph.D., Arshad Mahdi Hamad Msc

Karbala International Journal of Modern Science

This work focused on studying effect of diode laser on external appearance of white ants, and finding the percentage of mortality resulting from this beam of (650nm),(5mW),exposure times (60,70,80,90,100)sec at (3,5)cm for each exposure. The results recorded showed a clear increase in death rates, and increase in deformations as laser exposure times increased (higher percentage at lower distance), where laser was used to capture results of this therapeutic effect after passage time periods (12,24,48,72)hours. These results, show laser thermal effects resulting from its interaction with tissues, thermal propagation leads to ravage to the structures, thus to an increase death rates.

Calculation And Comparison Of Certain Physical Properties Of Sample Irregular Galaxies With The Milky Way Galaxy, Hasanain Hassan Al-Dahlaki Msc

Karbala International Journal of Modern Science

Irregular galaxies often include a mix of old and young celestial populations, as well as dust and gas. This study makes an early effort at the morphological classification of irregular galaxies. These sources have been chosen from (70) irregular galaxies data samples from a Catalogue survey. We present a statistical analysis of the physical properties for the chosen data from the database and a collection of tools that used to study the physics of galaxies and cosmology HYPERLEDA (http://atlas.obshp.fr/hyperleda/) and NASA /IPAC Extragalactic Database NED (https://ned.ipac.caltech.edu/) survey.

Seasonal Variation Of Microbiota In Shank Acanthopagrus Latus Living In Both Brackish And Fresh Water, Ali A. Al-Hisnawi Ph.D., Jassim M. Mustafa, Yass K. Yasser, Khalid A. Hussain, Ameera M. Jabur

Karbala International Journal of Modern Science

The present study was conducted to monitor the microbiota in the posterior intestine of Shank fish living in the river (fresh water) and Al-Razzaza lake (salt or brackish water) in Kerbala, Iraq. Cultivable bacteria were calculated and identified from specimens obtained from the posterior intestine of mucosa (PM) and digesta (PD) during summer and winter seasons. The total culturable bacteria (TCB) of bacteria isolated from both intestinal regions from fresh water fish during summer time were higher than counterparts in winter time. In contrast, the TVC of bacteria isolated from the PM from salt water fish during winter time were …

Evaluation Of The Healing Activity Of Cucurbita Spp. Leaf And Seed Extracts On Experimental Thermal Burns, Sanaa Jameel Thamer Ph.D., Prof. Maha Khalil Ibrahim, Dr. Khalid Shanshal Alnema

Karbala International Journal of Modern Science

Burns are the most common skin injuries associated with many complications and high incidences of wound infections. Many compounds of plant products have been assessed to accelerate wound healing or reduce contamination. The possible healing effect of two Cucurbita spp. in skin burns was investigated. Cucurbita maxima and Cucurbita pepo leaves and seeds were extracted using ethanol and analyzed by gas chromatography–mass spectrometry. Second-degree burn wounds were made on laboratory rats, and the burn wounds were applied topically with extracts for 14 days and silver sulfadiazine (SS) for comparison. Serum vascular endothelial growth factor (VEGF) was analyzed post-treatment. Hydroxyproline content …

Energy Conservation Approach Of Wireless Sensor Networks For Iot Applications, Suha Abdulhussein Abdulzahra Msc, Ali Kadhum M. Al-Qurabat Ph.D., Prof. Dr. Ali Kadhum Idrees

Karbala International Journal of Modern Science

Wireless Sensor Network is one of the most important contributors to IoT and performs significant role in people's lives due to its extensive use in many applications. Energy-saving is essential since sensor nodes are working by their restricted battery. In this article, data reduction method proposed to work at Gateway level of network. In GW, proposed method works as filtering via enabling GW to identify, then remove, sets of data that are redundant and produced by neighboring nodes. Principle idea of method recommended at this level is to exploit the advantage of spatial correlation between sensors to minimize energy depletion.

Prediction Of Iraqi Stock Exchange Using Optimized Based-Neural Network, Ameer Al-Haq Al-Shamery, Prof. Dr. Eman Salih Al-Shamery

Karbala International Journal of Modern Science

Stock market prediction is an interesting financial topic that has attracted the attention of researchers for the last years. This paper aims at improving the prediction of the Iraq-Stock-Exchange (ISX) using a developed method of feedforward Neural-Networks based on the Quasi-Newton optimization approach. The proposed method reduces the error factor depending on the Jacobian vector and Lagrange multiplier. This improvement has led to accelerating convergence during the learning process. A sample of companies listed on ISX was selected. This includes twenty-six banks for the years from 2010 to 2020. To evaluate the proposed model, the research findings are compared with …

Biosynthesis, Characterization And Antiproliferative Activity Of Green Synthesized Gold Nanoparticles Using Lantadene A Extracted From Lantana Camara, Dawood Ali Salim Dawood, Lee Suan Chua Ph.D, Tian Swee Tan Ph.D, Ahmed F. Alshemary Ph.D

Karbala International Journal of Modern Science

This study was focused on the biosynthesis of gold nanoparticles loaded with lantadene A (LA-AuNPs) from Lantana camara extract and the antiproliferative effects on prostate cancer cells (LNCaP). The synthesized LA-AuNPs had smooth surface, and nearly spherical in shape (67.94 nm) with the zeta potential (-30.11±0.83 mV). LAAuNPs showed a dose dependent cytotoxic activity with IC50, 126.82 µg/mL against LNCaP, but non-cytotoxic to normal prostate cells. The intrinsic pathway of apoptosis was caused by the increase of caspases-3/7 and -9 activity and cell cycle arrest at the G0/G1 phase. Therefore, LA-AuNPs could be a potent lead to inhibit LNCaP

The Detection Of Sexual Harassment And Chat Predators Using Artificial Neural Network, Noor Amer Hamzah, Ban N. Dhannoon

Karbala International Journal of Modern Science

The vast increase in using social media sites like Twitter and Facebook led to frequent sexual_harassment on the Internet, which is considered a major societal problem. This paper aims to detect sexual_harassment and cyber_predators in early phase. We used deeplearning like Bidirectionally-long-short-term memory. Word representations are carefully reviewed in text specific to mapping to real number vectors. The chat sexual predators Detection_approach with the proposed_model. The best results obtained by the performance measured with F0.5-score were the result is_0.927 with proposed_models. The accuracy measured is_97.27% in the proposed_model. The comments sexual_harassment Detection_approach the result is_0.925 F0.5-score, and accuracy measured is_99.12%.

An Online E-Voting System Based On An Adaptive Ledger With Singular Value Decomposition Technique, Rihab Habeeb Sahib, Prof. Dr. Eman Salih Al-Shamery

Karbala International Journal of Modern Science

Regular E-voting systems for elections may count the votes in less time,less cost,save the privacy of citizens,but still considered risky as votes can be tampered.E-voting systems based on a network distributed ledger show fast results,more trusted,save privacy,cannot be tampered,and distributed in which no central organization controls the system.This paper illustrate an e-voting system to solve the challenge of a massive ledger that is distributed among network-nodes using a data reduction technique as a security-matching-tool,singular value decomposition(SVD) that handle a copy of election results in another form and matched with the SQL-database results to announce a successful election-event representing a transparency-powerful-secured-system

Detecting Malicious Dns Queries Over Encrypted Tunnels Using Statistical Analysis And Bi-Directional Recurrent Neural Networks, Mohammad Al-Fawa'reh, Zain Ashi, Mousa Tayseer Jafar

Karbala International Journal of Modern Science

The exponential rise in the number of malicious threats targeting computer networks and digital services puts network infrastructure in jeopardy. Domain name protocol attacks are one of the most pervasive network attacks posing a threat to networks, whereby attackers send harmful information to the network; this type of threat is identified as DNS tunneling. The DNS protocol has recently gained increased attention from cyber-attackers, targeting organizations with a web presence or reliance on e-commerce businesses. Cyber-attackers can subtly exploit the contents of encrypted DNS packets that are sent across covert network tunnels, which are difficult for firewalls and blacklist detection …

Artificial Intelligence For Para Rubber Identification Combining Five Machine Learning Methods, Chairote Yaiprasert Ph.D.

Karbala International Journal of Modern Science

This study aims to identify Para rubber species using a combination of five machine learning techniques to classify leaf images. The learning process is defined using a dataset for each classification method. Approximately 1,472 leaf images are prepared consisting of various sizes, shapes, quality provided for the model. The classification indicators are defined with the help of an algorithm to identify at least three of the top five potential classification outcomes. The algorithm accurately predicts 100% of the five classification methods. Methods can provide precise and rapid classification of large quantities, without the need for image preprocessing prior to classification.

Synergistic Extraction Of Silver From Nitric Acid Medium With Dithizone In The Presence Of A Secondary Amine- Amberlite La-2 Using 110mag-Radioisotope, Madhusudan Mandal Ph.D.

Karbala International Journal of Modern Science

Synergistic extraction of silver has been investigated in the presence of two different kinds of extractants, one of which is a chelating ligand, dithizone and the other is a long-chain secondary amine amberlite LA-2 at pH 3.0 using a radiotracer technique. The apparent formation constant, overall equilibrium constant and adduct formation constants were calculated from distribution coefficients. Interestingly, it was observed that the adduct formation constant is too high when the ligand concentration is increased by keeping the amine concentration fixed at 0.044 M compared to that obtained when the ligand concentration is kept fixed at 8.74×10^-4 M.

Editorial Board

Karbala International Journal of Modern Science

No abstract provided.

Pranayama Breathing Detection With Deep Learning, Bikash Shrestha

Theses

Yoga, a complementary health approach, according to a 2017 National Health Interview Survey by the Center for Disease Control and Prevention (CDC), is a choice of around 14.3% adults in the US. Kapalbhati pranayama, a yoga practice of alternating fast exhales and longer passive inhales, is understood to improve our health. Incorrect and irregular practices, however, can cause injuries and adverse effects. To avoid these undesired effects, it is essential to maintain a pace fit for the practitioner. In the absence of any tools to observe a pace of practice, this work develops a deep learning method that listens to …

Metal Release From A Biomedical Cocrmo Alloy In Mixed Protein Solutions Under Static And Sliding Conditions: Effects Of Protein Aggregation And Metal Precipitation, Zheng Wei, Valentine Romanovski, Luimar Filho, Cecilia Persson, Yolanda S. Hedberg

Chemistry Publications

Biomedical materials made of cobalt-chromium-molybdenum (CoCrMo) alloys are commonly used in artificial prostheses and dental implants, which are exposed to friction and load. The release of Co, Cr, and Mo from these surfaces is governed by physical and chemical processes. The extent of measured metal release from biomedical CoCrMo alloys into mixed protein solutions may be influenced by protein aggregation and metal precipitation effects. Metal release from, and the surface composition of, a CoCrMo alloy was investigated in physiological relevant solutions (phosphate buffered saline, PBS, with varying concentrations of fibrinogen from bovine plasma and/or bovine serum albumin) at pH 7.3 …

Computing Agent Competency In First Order Markov Processes, Xuan Cao

Theses and Dissertations

Artificial agents are usually designed to achieve specific goals. An agent's competency can be defined as its ability to accomplish its goals under different conditions. This thesis restricts attention to a specific type of goal, namely reaching a desired state without exceeding a tolerance threshold of undesirable events in a first-order Markov process. For such goals, the state-dependent competency for an agent can be defined as the probability of reaching the desired state without exceeding the threshold and within a time limit given an initial state. The thesis further defines total competency as the set of state-dependent competency relationships over …

A Modular Strategy For Expanding Electron-Sink Capacity In Noncanonical Cluster Assemblies, Yume Mai, Alexandria K. Balzen, Rebecca K. Torren, Michael P. Callahan, Adam C. Colson

Chemistry and Biochemistry Faculty Publications and Presentations

A modular synthetic strategy is described whereby organometallic complexes exhibiting considerable electron-sink capacity may be assembled by using only a few simple molecular components. The Fe₂(PPh₂)₂(CO)₅ fragment was selected as a common electroactive component and was assembled around aromatic cores bearing one, two, or three isocyanide functional groups, with the resultant complexes possessing electron-sink capacities of two, four, and six electrons, respectively. The latter complex is noteworthy in that its electron-sink capacity was found to rival that of large multinuclear clusters (e.g., [Ni₃₂C₆(CO)₃₆]^6– and [Ni_{38 …}

Effects Of Anharmonicity In A Dual-Sagnac Interferometer, Stephen Thomas

Honors College Theses

A recent experiment implemented a dual Sagnac atom interferometer (AI) for rotation sensing using a Bose-Einstein condensate (BEC) confined in a TOP-trap potential. The BEC is split twice by laser light to create two pairs of counter-orbiting clouds in a lowest-order harmonic potential with each pair acting as a separate Sagnac interferometer. After one orbit the two overlapping cloud pairs are split again and the interference patterns are inferred from the population of atoms in the zero-momentum state. We have simulated the impact of the presence of anharmonic terms in the potential on the performance of the AI as measured …

Mitigation Of Impacts To Historic Features At The Butte Reduction Works (Brw) Smelter Area Mine Waste Remediation And Contaminated Groundwater Hydraulic Control Site, Mitzi Rossillon

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Zeros Of A Two-Parameter Family Of Harmonic Trinomials, David Work

Theses and Dissertations

This thesis studies complex harmonic polynomials of the form $f(z) = az^n + b\bar{z}^k+z$ where $n, k \in \mathbb{Z}$ with $n > k$ and $a, b > 0$. We show that the sum of the orders of the zeros of such functions is $n$ and investigate the locations of the zeros, including whether the zeros are in the sense-preserving or sense-reversing region and a set of conditions under which zeros have the same modulus. We also show that the number of zeros ranges from $n$ to $n+2k+2$ as long as certain criteria are met.

Final Project Report Nsf Award 1744490: Nsf Includes Ddlp: Leadership And Isteam For Females In Elementary School (Life): An Integrated Approach To Increase The Number Of Women Pursuing Careers In Stem, Bruce G. Bukiet, James Lipuma, Nancy Steffen-Fluhr

STEM for Success Resources

Disclaimer

This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

The LiFE project created and studied a comprehensive program bringing together iSTEAM, holistic student growth, modern technologies, and other supports to engage girls in STEM experiences through a collective impact approach.

LiFE supported STEAM clubs with role models and utilized research-based best …

Irrigation Systems Management, Dean E. Eisenhauer, Derrel L. Martin, Derek M. Heeren, Glenn J. Hoffman

Open Educational Resources: Textbooks

Like most textbooks, this book grew out of our desire to have written material that matches the educational needs of both the students and the instructor of a college course, in this case a course entitled Irrigation Systems Management. The book is the culmination of course notes which have been in development and use for nearly 30 years.

The emphasis of this book is on the management of irrigation systems that are used for agricultural crop production. There are two distinct components of the book, starting with the soil-water-plant-atmosphere system and how soil water should be managed to achieve the …

Optimal Container Migration For Mobile Edge Computing: Algorithm, System Design And Implementation, Taewoon Kim, Motassem Al-Tarazi, Jenn-Wei Lin, Wooyeol Choi

School of Computing: Faculty Publications

Edge computing is a promising alternative to cloud computing for offloading computationally heavy tasks from resource-constrained mobile user devices. Placed at the edge of the network, edge computing is particularly advantageous to delay-limited applications for having a short distance to end- users. However, when a mobile user moves away from the service coverage of the associated edge server, the advantage gradually vanishes, increasing response time. Although service migration has been studied to address this problem focusing on minimizing the service downtime, both zero-downtime and the amount of traffic generated as a result of migration need further study. In this paper, …

Productivity Of Intensive Grazing Systems Based Upon Irrigated Pangola Pastures In The French West Indies, G. Alexandre, M. Mahieu, G. Aumont, M. Naves

IGC Proceedings (1977-2023)

This work deals with the comparison of the productivity of intensive grazing systems (IGS) in the French West Indies, used for meat production with cattle, goat and sheep. IGS are based upon the use of irrigated, fertilized, and high stocked (1.8 to 1.4 t live weight/ha/year) and rotational grazing Digitaria decumbens pastures. They lie upon good performance levels of local breeds, Creole cattle and Creole goats of Guadeloupe and Martinik ewes, and upon improved general husbandry. Both sheep and goat in IGS exhibit high levels of productivity. They reached up to 1000 kg LW of weaned offsprings and 1400 kg …

Potential Of Crop Rotation Using Forages In The Tropics, P. L. Mafongoya

IGC Proceedings (1977-2023)

Soil fertility is a fundamental biophysical root cause of food insecurity sub-Saharan Africa. Low quality crop residues and grasses during the dry season also limit animal productivity. Forage legumes (herbaceous and tree legumes) have great potential to increase crop animal productivity. Technologies have been developed over the past 3 decades to fully integrate forage legumes into farming. Most of these technologies are still on shelves with low adoption by farmers. Rhe role of forage legumes in nutrient cycling is reviewed in this paper. The factor limiting adoption will also be discussed. Innovative dissemination pathways to increase adoption will be suggested.

The Role Of Forages In Sustainable Cropping Systems Of Southern Australia, William D. Bellotti

IGC Proceedings (1977-2023)

The historical context, recent trends, and possible future role of forages in cropping systems are reviewed. Three recent themes will be developed: 1) The successful exploitation of genetic diversity resulting in commercial development of new legume species as pasture cultivars with specific traits better suited to the needs of current farming systems. 2) Improved understanding of key soil processes under grazed pastures, particularly soil water and soil nitrogen, and how these processes impact on indicators of sustainability like deep drainage and nitrate leaching. 3) An emerging capacity for predicting the effect of pasture-crop sequences on soil processes, crop growth and …

Performance Of Millet Cultivars In Succession To Field Crop Of Beans In Southern Portion Of State Of Minas Gerais - Brazil, José C. Pinto, M. C. Maia, A. R. Evangelista, I. F. De Andrade, Joel Augusto Muniz, I. P. A. Dos Santos, E. R. P. Bomfim

IGC Proceedings (1977-2023)

This trial was carried out at the Department of Animal Science - Universidade Federal de Lavras (UFLA), from February to June, 1997. It was evaluated the performance of three millet [Pennisetum glaucum (L.) R. Br.] cultivars, as a second crop (Common, BN 2 and CMS 02) and four sowing dates (02/22, 03/14, 04/03 and 04/23). The three millet cultivars were sown after a cropping of beans (Phaseolus vulgaris L.) by the end of the rainy season, with no additional fertilization. It was used the randomized block design in a split-plot scheme, allocating the sowing dates on the main …

Performance Assessment Of Some Phishing Predictive Models Based On Minimal Feature Corpus, Orunsolu Abdul Abiodun, Sodiya A.S, Kareem S.O, Oladimeji G. B Mr.

Journal of Digital Forensics, Security and Law

Phishing is currently one of the severest cybersecurity challenges facing the emerging online community. With damages running into millions of dollars in financial and brand losses, the sad tale of phishing activities continues unabated. This led to an arms race between the con artists and online security community which demand a constant investigation to win the cyberwar. In this paper, a new approach to phishing is investigated based on the concept of minimal feature set on some selected remarkable machine learning algorithms. The goal of this is to select and determine the most efficient machine learning methodology without undue high …